Instructions to use alecocc/modernbert-en-disease-masked-50-10epochs-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alecocc/modernbert-en-disease-masked-50-10epochs-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alecocc/modernbert-en-disease-masked-50-10epochs-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alecocc/modernbert-en-disease-masked-50-10epochs-v1") model = AutoModelForTokenClassification.from_pretrained("alecocc/modernbert-en-disease-masked-50-10epochs-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16e14faf3831dad963a8dd3d87f9b17bade815e0292dbc7607135422381da3ed
- Size of remote file:
- 598 MB
- SHA256:
- 0bc32d2d98662322e1dbd1d4c494f50309c90f3b70c7b4c33142f2f79fa7b6b1
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